药理学
脂肪性肝炎
非酒精性脂肪肝
非酒精性脂肪性肝炎
化学
生物化学
生物
医学
脂肪肝
内科学
疾病
作者
Yi Ren,Kaihui Xiao,Yujia Lu,Wei Chen,Li Li,Jingjie Zhao
摘要
Abstract Objectives In China, there is a long history and rich clinical experience in treating nonalcoholic steatohepatitis (NASH) with traditional Chinese herbal medicines, including Chai Hu Shu Gan San. This study aims to investigate the potential regulatory effects of Chaihu Shugan San (CSS) on liver lipid metabolism and inflammatory damage in mice with experimental nonalcoholic steatohepatitis (NASH) induced by a choline-deficient high-fat diet (CDHFD). Utilizing network pharmacology, we systematically explore the mechanisms of action and therapeutic potential of CSS against NASH. Methods Potential targets in CSS and targets for NASH were identified using online databases. Functional enrichment and protein–protein interaction analyses were conducted to identify hub-targeted genes and elucidate the underlying molecular mechanisms. The affinities of active compounds in CSS with hub-targeted genes were evaluated using molecular docking. Finally, hub-targeted genes were validated through real-time polymerase chain reaction, western blotting, and immunofluorescence in choline-deficient high-fat diet mice, both with and without CSS treatment. Key findings CSS reduces serum ALT and AST levels in NASH mice(P < 0.05) and ameliorates ballooning degeneration in the livers of NASH mice, thereby lowering the NAS score(P < 0.05). Including naringenin, high-performance liquid chromatography/mass spectrometrys identified 12 chromatographic peaks. Based on network pharmacology analysis, CSS contains a total of 103 active compounds and 877 target genes. Transferase activity represents a potential mechanism for therapeutic intervention of CSS in NASH. The transcriptional levels and protein expression of the SIRT1 gene in NASH mice are significantly increased by CSS (P < 0.05). Conclusions Naringenin is probable active compound in CSS and SIRT1 is the hub gene by which CSS is involved in NASH treatment.
科研通智能强力驱动
Strongly Powered by AbleSci AI